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Gemini 3.1 Pro vs Mistral Large 3

Compare Google and Mistral AI AI models

Google
Gemini 3.1 Pro
vs
Mistral AI
Mistral Large 3

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3.1 Pro

Per Request:$0.008000
Daily:$0.80
Monthly:$24.00
Yearly:$292.00

Mistral Large 3

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

Cost Differences

$0.006750
Per Request
$0.675
Daily
$20.25
Monthly
$246.375
Yearly

Mistral Large 3 costs less than Gemini 3.1 Pro

Feature Comparison

FeatureGemini 3.1 ProMistral Large 3
ProviderGoogleMistral AI
Input Price$2.00/1M tokens$0.50/1M tokens
Output Price$12.00/1M tokens$1.50/1M tokens
Context Window1,000,000 tokens256,000 tokens
Max Output65,536 tokens32,768 tokens
Categoryflagshipflagship
Capabilities
textvisionaudiovideocodereasoning
textcodereasoning
Release Date2/19/202612/2/2025

Gemini 3.1 Pro vs Mistral Large 3: Which Should You Choose?

Choosing between Gemini 3.1 Pro and Mistral Large 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens75% cheaper than Gemini 3.1 Pro. Meanwhile, Gemini 3.1 Pro offers a significantly larger context window at 1,000,000 tokens vs 256,000 for Mistral Large 3.

These models come from different providers — Google and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Large 3 would save you roughly $2,025.00/month compared to Gemini 3.1 Pro. For startups and indie developers, that difference can be significant.

Output costs matter too. Gemini 3.1 Pro charges $12.00/1M output tokens vs $1.50 for Mistral Large 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.

Multimodal capabilities: Gemini 3.1 Pro supports vision (image inputs) while Mistral Large 3 is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 3.1 Pro when:

  • • You need a larger context window (1,000,000 tokens)
  • • You need more capabilities (vision, audio, video)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Google's API ecosystem

Choose Mistral Large 3 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3.1 Pro (Google)

Mistral Large 3 (Mistral AI)

Start using Gemini 3.1 Pro today

Sign Up for Google

Start using Mistral Large 3 today

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Frequently Asked Questions

Which is cheaper, Gemini 3.1 Pro or Mistral Large 3?
Mistral Large 3 is cheaper for input tokens at $0.50 per million tokens vs $2.00 for Gemini 3.1 Pro — that's 75% savings on input costs.
What is the context window difference between Gemini 3.1 Pro and Mistral Large 3?
Gemini 3.1 Pro supports 1,000,000 tokens while Mistral Large 3 supports 256,000 tokens — a difference of 744,000 tokens in favor of Gemini 3.1 Pro.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Mistral Large 3 is the lower-cost option, while Gemini 3.1 Pro offers a larger context window (1,000,000 vs 256,000 tokens). Choose Mistral Large 3 for budget sensitivity or Gemini 3.1 Pro for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3.1 Pro costs about $24.00/month and Mistral Large 3 costs about $3.75/month. Overall, Mistral Large 3 has lower combined input + output rates ($0.50 in, $1.50 out) vs Gemini 3.1 Pro.

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